AI Recommendation Readiness Audit | The Black Friday Agency
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
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品質與安全性
A
發現項目（1）
- LOWTool 'assess_ai_recommendation_readiness' name length outside 3-30 range在 assess_ai_recommendation_readiness 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~1,344Token（工具定義）
~7.9 KB典型回應大小
中等的注意力影響（128k 上下文的 1.05%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"canairecommendmybusiness-com": {
"url": "https://canairecommendmybusiness.com/api/mcp"
}
}
}遠端端點
https://canairecommendmybusiness.com/api/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢assess_ai_recommendation_readiness(businessSize, dataMaturity, technicalStack, goals, businessName, ...)
Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.
輸入結構描述
{
"type": "object",
"properties": {
"businessSize": {
"type": "string",
"enum": [
"solo",
"micro",
"small",
"midmarket",
"enterprise"
],
"description": "Size of the business/organization."
},
"dataMaturity": {
"type": "string",
"enum": [
"none",
"basic",
"developing",
"structured",
"advanced"
],
"description": "Availability and maturity of the structured/machine-readable data of the business."
},
"technicalStack": {
"type": "string",
"enum": [
"minimal",
"standard",
"modern",
"advanced"
],
"description": "Technical stack / infrastructure sophistication."
},
"goals": {
"type": "array",
"items": {
"type": "string",
"enum": [
"ai_visibility",
"lead_generation",
"trust_authority",
"content_coverage",
"conversion_optimization",
"structured_data",
"agent_readiness",
"reputation_management"
]
},
"minItems": 1,
"maxItems": 8,
"uniqueItems": true,
"default": [
"ai_visibility"
],
"description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum)."
},
"businessName": {
"type": "string",
"description": "Optional, non-sensitive business name for context."
},
"industry": {
"type": "string",
"description": "Optional industry/category for context."
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack"
]
}輸出結構描述
{
"type": "object",
"properties": {
"tool": {
"type": "string",
"description": "Canonical tool identifier."
},
"engineVersion": {
"type": "string",
"description": "Version of the deterministic scoring engine."
},
"readinessScore": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Overall AI recommendation readiness score (0–100)."
},
"tier": {
"type": "object",
"properties": {
"level": {
"type": "integer",
"minimum": 1,
"maximum": 4,
"description": "Tier level (1–4)."
},
"name": {
"type": "string",
"enum": [
"Foundational",
"Developing",
"Established",
"Optimized"
],
"description": "Readiness tier name."
},
"summary": {
"type": "string",
"description": "Plain-language summary of the tier."
}
},
"required": [
"level",
"name",
"summary"
],
"additionalProperties": false
},
"dimensionScores": {
"type": "array",
"description": "Per-dimension breakdown of the overall score.",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Dimension identifier."
},
"label": {
"type": "string",
"description": "Human-readable dimension name."
},
"score": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Dimension score (0–100)."
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Weight of this dimension in the overall score."
}
},
"required": [
"key",
"label",
"score",
"weight"
],
"additionalProperties": true
}
},
"gapAnalysis": {
"type": "array",
"description": "Identified gaps between current and target readiness.",
"items": {
"type": "object",
"properties": {
"area": {
"type": "string",
"description": "Gap area / dimension."
},
"severity": {
"type": "string",
"enum": [
"low",
"moderate",
"high",
"critical"
],
"description": "Severity of the gap."
},
"description": {
"type": "string",
"description": "Explanation of the gap."
}
},
"required": [
"area",
"severity",
"description"
],
"additionalProperties": true
}
},
"priorityActions": {
"type": "array",
"description": "Prioritized recommended actions.",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "Short action title."
},
"detail": {
"type": "string",
"description": "Action detail / rationale."
},
"effort": {
"type": "string",
"enum": [
"low",
"medium",
"high"
],
"description": "Estimated effort."
},
"impact": {
"type": "string",
"enum": [
"low",
"medium",
"high"
],
"description": "Estimated impact."
}
},
"required": [
"title"
],
"additionalProperties": true
}
},
"implementationRoadmap": {
"type": "array",
"description": "Phased implementation roadmap.",
"items": {
"type": "object",
"properties": {
"phase": {
"type": "string",
"description": "Phase name."
},
"focus": {
"type": "string",
"description": "Primary focus of the phase."
},
"actions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Actions within the phase."
}
},
"required": [
"phase"
],
"additionalProperties": true
}
},
"normalizedInputs": {
"type": "object",
"description": "The normalized inputs actually used for scoring.",
"properties": {
"businessSize": {
"type": "string"
},
"dataMaturity": {
"type": "string"
},
"technicalStack": {
"type": "string"
},
"goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"additionalProperties": true
},
"disclaimer": {
"type": "string",
"description": "Educational-use disclaimer."
}
},
"required": [
"readinessScore",
"tier",
"dimensionScores",
"gapAnalysis",
"priorityActions",
"normalizedInputs",
"disclaimer"
],
"additionalProperties": true
}🟢get_ai_readiness_framework
Returns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}輸出結構描述
{
"type": "object",
"properties": {
"engineVersion": {
"type": "string"
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"label": {
"type": "string"
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 1
}
},
"required": [
"key",
"label",
"weight"
],
"additionalProperties": false
}
},
"tiers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"level": {
"type": "integer",
"minimum": 1,
"maximum": 4
},
"name": {
"type": "string"
},
"scoreRange": {
"type": "string"
}
},
"required": [
"level",
"name",
"scoreRange"
],
"additionalProperties": false
}
},
"inputOptions": {
"type": "object",
"properties": {
"businessSize": {
"type": "array",
"items": {
"type": "string"
}
},
"dataMaturity": {
"type": "array",
"items": {
"type": "string"
}
},
"technicalStack": {
"type": "array",
"items": {
"type": "string"
}
},
"goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack",
"goals"
],
"additionalProperties": false
},
"disclaimer": {
"type": "string"
}
},
"required": [
"engineVersion",
"dimensions",
"tiers",
"inputOptions",
"disclaimer"
],
"additionalProperties": false
}社群
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已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具